arXiv cs.MA· Lynnette Hui Xian Ng, Kathleen M. Carley·· 12 小时前AI 评分26
基于 LLM 的赛博社交智能体仿真：用分类学与实证人设模拟异构网络社会
LLM-Augmented Agent-Based Simulation of Cyber Social Agents
AI 导读
研究将社交媒体自动化账号概念化为“赛博社交智能体”（Cyber Social Agents），按操作手法与修辞风格建立原型分类学，并接入 LLM 驱动的社交仿真，让智能体在网络环境中沟通与协调。团队用基于实证数据的 CSA 人设模拟异构在线社会，考察智能体多样性如何影响信息扩散与社会影响力。该方法旨在弥合规则型智能体模型与 LLM 生成式仿真之间的差距。
正文
Abstract:Social media bots are often portrayed as malicious automations to be detected and removed, but automation on social media platforms encompasses a wide spectrum of roles, behaviors, and rhetorical strategies that can shape online discourse in both constructive and destructive ways. This work conceptualizes these automated actors as \textbf{Cyber Social Agents} through a taxonomy of archetypes characterized by their operational tactics and rhetorical style. We integrate this taxonomy into an LLM-driven social simulation, where agents communicate and coordinate in a network environment. Using empirically grounded CSA personas, we simulate heterogeneous online societies to study how agent diversity shapes information diffusion and social influence. Our approach bridges the gap between rule-based agent models and LLM-powered simulations with generated agents that are parameterized from empirical data.
| Subjects: | Multiagent Systems (cs.MA); Artificial Intelligence (cs.AI); Social and Information Networks (cs.SI) |
| Cite as: | arXiv:2610.32988 [cs.MA] |
| (or arXiv:2610.32988v1 [cs.MA] for this version) | |
| https://doi.org/10.48550/arXiv.2610.32988 arXiv-issued DOI via DataCite |
Submission history
From: Lynnette Hui Xian Ng [view email]
[v1]
Sat, 22 Aug 2026 12:43:36 UTC (1,963 KB)
来源：arXiv cs.MA · arxiv.org